Top Data Science Books for Beginners and Experience

One of the best career choices to have in this advanced IT world of today is taking a Data Science with Python Course. Data Science deals with the complex topics of handling, manipulating, and analyzing large amounts of data with the help of modern technologies, techniques, methods, and resources. It aims to find out never-before-seen patterns and derive useful information for companies so that they can make effective business decisions. Data Science uses the complex algorithms of Machine Learning to build predictive helpful models for businesses. One of the best languages to perform Data Science operations in is Python.

Python is a high-level, object-oriented, general-purpose programming language that provides user code readability and clear syntax. Python is easy to understand and learn and is one of the best languages for Data Science because of the vast amount of libraries available in Python. Python helps a programmer to work on large as well as small projects. Therefore, it is perfect to handle the huge amount of data that is needed to be manipulated and analyzed in Data Science to provide useful predictive information.

An Overview of the Course in Data Science with Python

The Data Science with Python Training would help you excel in your career and open up new opportunities for you. This course is not only made for those interested in becoming a data scientist but for other IT fields as well. Furthermore, you don’t need to fulfill any prerequisite to take this course but having some basic programming skills would be helpful. The comprehensive Data Science Course teaches the learner using an immersive and experiential learning approach. Hands-on learning using Python skills would help you accelerate your career.

Through experiential learning, this course focuses on building up confidence in an individual in dealing with real-life projects. There are plenty of interactive sessions, assignments, projects, case studies, team projects, and much more to provide a comprehensive learning experience. In this course, you’d learn about the Python programming language and its various libraries such as Pandas, Matplotlib, and Scikit. All these are essential for analyzing and visualizing data. You would also be learning about how to create predictive models using advanced-level statistics. Topics such as hypothesis testing and inferential statistics are also included in the curriculum for providing help in making good decisions.

A-List of Data Science Books from Beginner to an Experienced Level

Beginner Level Data Science Books

  • “Practical Statistics for Data Scientists” – Peter Bruce and Andrew Bruce 

This is one of the most highly recommended for those who have just started learning about Data Science. The language of the book is very easy to understand and it covers a large range of important topics. You can learn about statistics including in-depth details on topics such as randomization, sampling, distribution, etc.

  • Introduction to Machine Learning with Python: A Guide for Data Scientists Andreas C. Müller and Sarah Guido

Having Machine Learning knowledge is important to becoming a Data Scientist, and this book helps a beginner with just that. Through the help of this topic, you can create Machine Learning models on your own. You need not have prior Python programming knowledge because this book includes that as well. This book is designed for beginners who want to understand the basics of Machine Learning and Python.

Intermediate Level Data Science Books

  • “Python Data Science Handbook” – Jake VanderPlas

For those who are done with the basics of Python, this is the book that they need to study. This book includes information about the vast amount of libraries offered by Python and their use in Data Science. This handbook is a comprehensive guide about Python libraries such as Pandas, Numpy, Matplotlib, and much more.

  • “R for Data Science” – Hadley Wickham and Garret Grolemund

R is one of the most popular programming languages for Data Science other than Python. After learning how to implement Data Science techniques through Python, the next step is learning them to do that by R. This book covers topics such as data exploration, modeling, programming, wrangling, communication, and much more. 

Experienced Level Data Science Books

  • “Mining of Massive Datasets” – Jure Leskovec, Anand Rajaraman, Jeff Ullman 

This book provides an immersive learning experience to its learner because it has been intricately designed by experts based on a plethora of Stanford courses about data mining and network analysis. This book is focused on mining large amounts of datasets that are required in Data Science. Through this book, you can learn to create production-level models on a huge scale. The important topics included in this book are mining data streams, MapReduce, dimensionality reduction, building recommendation systems, link analysis, and a lot more.

  • “Deep Learning” – Ian Goodfellow, Yoshua Bengio, and Aaron Courville

This is considered one of the best books to study deep learning algorithms at an advanced level. Deep learning is something that a Data Scientist should have a thorough knowledge of. This book is made for those who want to gain an in-depth understanding of the core concepts of deep learning. It is not filled with heavy codes and successfully explains deep learning problems as well. The book’s layout has been designed in a way so that it’s easy for the learner to gain important information from this extensive book. There are plenty of bullet points and images. This book covers topics such as an introduction and explanation of deep learning concepts, backpropagation algorithms, unsupervised deep learning, ConvNets, recurrent neural nets, attention mechanisms, and a lot more.

There are plenty of Data Science books that are available in the market but it is important to understand the type of book that would be useful for you. Jumping onto an advanced level without having the basic knowledge about the beginner concepts would make studying Data Science difficult for you. Data Science is a huge topic and covers a large number of areas and different fields. If you take the Data Science Course, you would not only prepare yourself to become a Data Scientist but also open the doors to many other professions as well.